首页|Researchers from Taiyuan University of Technology Detail Findings in Machine Lea rning (A Machine-Learning-Based Method for Identifying the Failure Risk State of Fissured Sandstone under Water- Rock Interaction)

Researchers from Taiyuan University of Technology Detail Findings in Machine Lea rning (A Machine-Learning-Based Method for Identifying the Failure Risk State of Fissured Sandstone under Water- Rock Interaction)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting out of Taiyuan, People’s Republic of China, by NewsRx editors, research stated, “The mechanical properti es of fissured sandstone will deteriorate under water-rock interaction. It is cr ucial to extract the precursor information of fissured sandstone instability und er water-rock interaction.”

Taiyuan University of TechnologyTaiyua nPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Lea rningRisk and Prevention

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.1)